Kaijian (Kai) Zou

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Hello, my name is Kaijian Zou. My Chinese name is 邹凯键. People usually call me Kai.

I am a 4th-year Ph.D. Candidate at the University of Michigan, advised by Prof. Lu Wang and a member of the LAUNCH Group.

I earned my B.S. in Computer Science from Cornell University, where I had the privilege of working with Prof. Claire Cardie on summarization research.

My research interests lie in Natural Language Processing, Deep Learning, and Machine Learning. Currently, I am focusing on the code reasoning of LLMs and the evaluation of long-context language models. In addition, I am working on improving SWE agents.

My email is zkj[last_name]@umich.edu.

news

Aug 20, 2025 SYNC: A Synthetic Long-Context Understanding Benchmark for Controlled Comparisons of Model Capabilities accepted at EMNLP 2025.
May 19, 2025 Excited to start my internship at Cresta as a ML researcher.
May 15, 2025 On Many-Shot In-Context Learning for Long-Context Evaluation accepted at ACL 2025. See you at Vienna.
Nov 11, 2024 Retrieval or Global Context Understanding? On Many-Shot In-Context Learning for Long-Context Evaluation is out on arXiv.
Oct 09, 2024 Passed my prelim exam!

selected publications

  1. EMNLP-Findings
    Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting
    Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, and 2 more authors
    2023
    PDF Data Poster Slides
  2. ACL
    On Many-Shot In-Context Learning for Long-Context Evaluation
    Kaijian Zou, Muhammad Khalifa, and Lu Wang
    2025
    PDF Code Data Poster Slides
  3. LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
    Kaijian Zou, Aaron Xiong, Yunxiang Zhang, and 6 more authors
    2025
    PDF